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Yu, Jiayong; Meng, Xiaolin; Shao, Xudong; Yan, Banfu; Yang, Lei (2014)
Publisher: Elsevier
Journal: Engineering Structures
Languages: English
Types: Article
Subjects: Civil and Structural Engineering
Global Navigation Satellite System (GNSS) positioning technology has been employed in the dynamic monitoring of long-span bridges in the recent years. However, it has difficulties to meet the higher accuracy requirements of the dynamic monitoring of small or medium span bridges, due to the presence of measurement noise from multipath, cycle slips, ionosphere delay, orbital errors, etc. To verify the feasibility of using current GNSS technology to monitor these bridges, a series of monitoring experiments have been carried out on the Wilford suspension bridge in Nottingham (UK) with GNSS and a triaxial accelerometer. Three GNSS data processing modes, i.e. Real-Time Kinematic (RTK), network RTK and Post-Processing Kinematic (PPK), were considered. An innovative multimode adaptive filtering (MAF) that combining adaptive filter with Chebyshev highpass filter was used to identify the dynamic displacements of the bridge from the multimode GNSS data. To validate the GNSS results, the dynamic displacements were also computed from double integration of the accelerometer-measured accelerations. The differences of the displacements between the GNSS and accelerometer results were obtained. The standard deviation and the mean deviation of these differences are less than 1 mm, which is good enough for the monitoring purposes. The modal frequencies of the bridge can be accurately identified from GNSS measurements, and successfully validated by those from the accelerometer data. Using the multimode GNSS data and the proposed the MAF algorithm, with sub-millimeter level accuracy GNSS can be used to monitor the vibration response of small or medium span bridges as well as long-span bridges.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] Meng X, Roberts GW, Dodson AH, Cosser E, Barnes J, Rizos C. Impact of GPS satellite and pseudolite geometry on structural deformation monitoring: analytical and empirical studies. J Geodesy 2004;77:809-22.
    • [2] Meng X, Dodson AH, Roberts GW. Detecting bridge dynamics with GPS and triaxial accelerometers. Eng Struct 2007;29:3178-84.
    • [3] Li X, Ge L, Ambikairajah E, Rizos C, Tamura Y, Yoshida A. Full-scale structural monitoring using an integrated GPS and accelerometer system. GPS Solut 2006;10:233-47.
    • [4] Moschas F, Stiros S. Measurement of the dynamic displacements and of the modal frequencies of a short-span pedestrian bridge using GPS and an accelerometer. Eng Struct 2011;33:10-7.
    • [5] Kijewski-Correa T, kareem A, Kochly M. Experimental verification and fullscale deployment of global positioning systems to monitor the dynamic response of tall buildings. J Struct Eng 2006;132:1242-53.
    • [6] Im SB, Hurlebaus S, Kang YJ. A summary review of GPS technology for structural health monitoring. J Struct Eng 2013;139(10):1653-64.
    • [7] Bonnor N. A brief history of Global Navigation Satellite Systems. J Navigat 2012;65:1-14.
    • [8] Lovse J, Teskey W, Cannon M. Dynamic deformation monitoring of tall structure using GPS technology. J Surv Eng 1995;121:35.
    • [9] Ashkenazi V, Dodson A, Moore T, Roberts G. Real time OTF GPS monitoring of the humber bridge. Surv World 1996;4:26-8.
    • [10] Breuer P, Chmielewski T, Gorski P, Konopka E. Application of GPS technology to measurements of displacements of high-rise structures due to weak winds. J Wind Eng Ind Aerod 2002;90:223-30.
    • [11] Ge L, Han S, Rizos C, Ishikawa Y, Hoshiba M, Yoshida Y, et al. GPS seismometers with up to 20 Hz sampling rate. Earth Planets Space 2000;52:881-4.
    • [12] Xu L, Guo JJ, Jiang JJ. Time-frequency analysis of a suspension bridge based on GPS. J Sound Vib 2002;254:105-16.
    • [13] Tamura Y, Matsui M, Pagnini LC, Ishibashi R, Yoshida A. Measurement of windinduced response of buildings using RTK-GPS. J Wind Eng Ind Aerod 2002;90:1783-93.
    • [14] Kijewski-Correa T, Kilpatrick J, Kareem A, Kwon D-K, Bashor R, Kochly M, et al. Validating wind-induced response of tall buildings: synopsis of the Chicago full-scale monitoring program. J Struct Eng 2006;132:1509-23.
    • [15] Yigit CO, Li X, Inal C, Ge L, Yetkin M. Preliminary evaluation of precise inclination sensor and GPS for monitoring full-scale dynamic response of a tall reinforced concrete building. J Appl Geodesy 2010;4:103-13.
    • [16] Watson C, Watson T, Coleman R. Structural monitoring of cable-stayed bridge: analysis of GPS versus modeled deflections. J Surv Eng 2007;133:23-8.
    • [17] Robert GW, Brown C, Meng X. Deflection and frequency monitoring of forth road bridge, Scotland, by GPS. Proc ICE-Bridge Eng 2012;165:105-23.
    • [18] Meng X. Real-time deformation monitoring of bridges using GPS/ accelerometers, PhD dissertation. Nottingham: The University of Nottingham; 2002.
    • [19] Li X, Rizos C, Ge Li, Tamura Y, Yoshida A. The complementary characteristics of GPS and accelerometer in monitoring structural deformation. In: Proceedings of the U.S. institute of navigation national technical meeting. San Diego; 2005. P. 911-20.
    • [20] Yi T, Li H, Gu M. Full-scale measurements of dynamic response of suspension bridge subjected to environmental loads using GPS technology. Sci China Ser E 2010;53:469-79.
    • [21] Moschas F, Stiros SC. Three-dimensional dynamic deflections and natural frequencies of a stiff footbridge based on measurements of collocated sensors. Struct Control Health Monit 2014;21:23-42.
    • [22] Nickitopoulou A, Protopsalti K, Stiros S. Monitoring dynamic and quasi-static deformations of large flexible engineering structures with GPS: accuracy, limitations and promises. Eng Struct 2006;28:1471-82.
    • [23] Yi TH, Li HN, Gu M. Experimental assessment of high-rate GPS receivers for deformation monitoring of bridge. Measurement 2013;46:420-32.
    • [24] Roberts GW, Cosser E, Meng X, Dodson AH. High frequency deflection monitoring of bridges by GPS. J Glob Pos Syst 2004;3:226-31.
    • [25] Chan WS, Xu YL, Ding XL, Xiong YL, Dai WJ. Assessment of dynamic measurement accuracy of GPS in three directions. J Surv Eng 2006;132:108-17.
    • [26] Moschas F, Stiros SC. PLL bandwidth and noise in 100 Hz GPS measurements. GPS Solut; 2014. p. 1-13 [Published online].
    • [27] Moschas F, Stiros S. Dynamic multipath in structural bridge monitoring: an experimental approach. GPS Solut. 2014;18:209-18.
    • [28] Yi TH, Li HN, Gu M. Recent research and applications of GPS based technology for bridge health monitoring. Sci China Ser E 2010;53:2597-610.
    • [29] Ogaja C, Li X, Rizos C. Advances in structural monitoring with global positioning system technology: 1997-2006. J Appl Geod 2007;1:171-9.
    • [30] Zheng D, Zhong P, Ding X, Chen W. Filtering GPS time-series using a Vondrak filter and cross-validation. J Geodesy 2005;79:363-9.
    • [31] Ge L, Han S, Rizos C. Multipath mitigation of continuous GPS measurements using an adaptive filter. GPS Solut 2000;4:19-30.
    • [32] Ge L, Han S, Rizos C. GPS multipath change detection in permanent GPS stations. Surv Rev 2002;36:306-22.
    • [33] Roberts GW, Meng X, Dodson AH. Using adaptive filtering to detect multipath and cycle slips in GPS/accelerometer bridge deflection monitoring data. In: Proceedings of XXII international congress of the FIG. Washington DC (USA); 2002 April 19-26.
    • [34] Chan W, Xu Y, Ding X, Dai W. An integrated GPS-accelerometer data processing technique for structural deformation monitoring. J Geodesy 2006;80:705-19.
    • [35] Yi TH, Li HN, Gu M. Characterization and extraction of global positioning system multipath signals using an improved particle-filtering algorithm. Meas Sci Technol 2011;22:1-11.
    • [36] Psimoulis PA, Stiros SC. A supervised learning computer-based algorithm to derive the amplitude of oscillations of structures using noisy GPS and Robotic Theodolites (RTS) records. Comput Struct 2012;92:337-48.
    • [37] Yi TH, Li HN, Gu M. Wavelet based multi-step filtering method for bridge health monitoring using GPS and accelerometer. Smart Struct Syst 2013;11:331-48.
    • [38] Roberts GW, Meng X, Dodson AH. Integrating a global positioning system and accelerometers to monitor the deflection of bridges. J Surv Eng 2004;130:65-8.
    • [39] Cosser E, Roberts GW, Meng X, Dodson A. Measuring the dynamic deformation of bridges using a total station. In: Stiros S, Pytharouli S, editors. 11th FIG symposium on deformation measurements. Santorini: Patras University; 2003. p. 605-12.
    • [40] Meo M, Zumpano G, Meng X, Cosser E, Roberts G, Dodson A. Measurements of dynamic properties of a medium span suspension bridge by using the wavelet transforms. Mech Syst Signal Pr 2006;20:1112-33.
    • [41] Tolman BW, Craig BK. An integrated GPS/accelerometer system for low dynamics applications. In: Proceedings of the international symposium on kinematic systems in geodesy, geomatics, and navigation. Banff, Canada; 1997 [June 3-6].
    • [42] Meng X, Gogoi N, Dodson AH, Roberts GW, Brown CJ. Using Multi-constellation GNSS and EGNOS for bridge deformation monitoring. In: Proceedings of the joint international symposium on deformation monitoring. Hong Kong, China; 2011 [November 2-4].
    • [43] Edwards S, Clarke P, Penna N, Goebell S. An examination of network RTK GPS services in Great Britain. Surv Rev 2010;42:107-21.
    • [44] Moschas F, Stiros S. Noise characteristics of high-frequency, short-duration GPS records from analysis of identical, collocated instruments. Measurement 2013;46:1488-506.
    • [45] Ge L, Chen HY, Han S, Rizos C. Adaptive filtering of continuous GPS results. J Geodesy 2000;74:572-80.
    • [46] Haykin S. Adaptive filter theory. 3rd ed. Upper Saddle River (NJ): Prentice-Hall; 1996.
    • [47] Stiros SC, Psimoulis PA. Response of a historical short-span railway bridge to passing trains: 3-D deflections and dominant frequencies derived from Robotic Total Station (RTS) measurements. Eng Struct 2012;45:362-71.
    • [48] Park KT, Kim SH, Park HS, Lee KW. The determination of bridge displacement using measured acceleration. Eng Struct 2005;27:371-8.
    • [49] Stiros SC. Errors in velocities and displacements deduced from accelerographs: an approach based on the theory of error propagation. Soil Dyn Earthquake Eng 2008;28:415-20.
    • [50] Wu Z, Huang NE. Ensemble empirical mode decomposition: a noise-assisted data analysis method. Adv Adapt Data Anal 2009;1:1-41.
    • [51] Psimoulis P, Pytharouli S, Karambalis D, Stiros S. Potential of Global Positioning System (GPS) to measure frequencies of oscillations of engineering structures. J Sound Vib 2008;318:606-23.
    • [52] Huang NE, Wu Z. Hilbert-Huang transform and its applications. Singapore: World Scientific; 2005.
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